Senior Data Engineer Job at Stravito

Senior Data Engineer

Stravito

Location:
Netherlands; Sweden

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Stravito transforms how Consumer Insights professionals and Brand Managers work by building AI that automates their core workflows. We help world-leading organizations across industries accelerate strategic decision-making by turning millions of market research documents into intelligent systems that generate reports, discover insights proactively, and synthesize knowledge across vast content libraries. The data platform underneath makes all of this possible: ingesting millions of documents, enforcing tenant-level security, and feeding the AI systems our customers rely on daily.

Job Responsibility:

Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
Design and maintain APIs for analytics and event extraction, with multi-tenant security baked in (RBAC, OAuth, SSO/SAML)
Make data usable: whether that's modeling schemas for BI consumers, investigating a data quality issue, or helping a stakeholder understand what's possible with the data we have
Keep things reliable and secure through automated tests, monitoring, and handling of sensitive data within SOC 2 and ISO 27001 environments
Power our AI experiences by working with vector stores, indexing, and retrieval systems
Drive engineering best practices across the platform: CI/CD, peer reviews, infrastructure as code, API versioning, and clear documentation

Requirements:

A track record of building data platforms in SaaS or cloud-native analytics environments
Strong programming skills, with depth in at least one of Python or Kotlin and willingness to work across both
Hands-on experience with MPP/cloud data warehouses (e.g., ClickHouse, Redshift, BigQuery, Snowflake, Azure Synapse) and cloud infrastructure on AWS or Azure
Practical experience designing, consuming, and maintaining APIs
Familiarity with multi-tenant security patterns: RBAC, row-level security, and identity standards such as OAuth and SAML/SSO
Solid engineering fundamentals: CI/CD, automated testing, observability, and infrastructure as code (Terraform a plus)
Working knowledge of data privacy requirements (PII handling, GDPR) and experience operating within compliance frameworks like SOC 2 or ISO 27001

Nice to have:

Experience integrating with BI tools (Power BI, Tableau, Looker)
Familiarity with semantic search, embeddings, or vector stores (e.g., Pinecone, pgvector)
Exposure to event-driven or streaming architectures (Kafka, Kinesis, SQS/SNS)
Experience with containerisation (Docker, ECS/Fargate)
Interest in leveraging LLMs and AI tooling to accelerate data engineering work
dbt, SQLMesh, or similar transformation framework experience

What we offer:

Remote-first, globally distributed team
Company events throughout the year
Career development opportunities
Competitive compensation
Collaborative culture

Additional Information:

Job Posted:
April 24, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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